Comments (4)
@qtw1998 What OS are you using?
I have run 2 gpu 2080Ti on ubuntu well with batch size 32 on efficientdet-d0
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@qtw1998 What OS are you using?
I have run 2 gpu 2080Ti on ubuntu well with batch size 32 on efficientdet-d0
Just the same codes as the github now? I don't know why? And you can see the problem very popular among others #32 , but now may have no ways to get started to train the model...
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@qtw1998 What OS are you using?
I have run 2 gpu 2080Ti on ubuntu well with batch size 32 on efficientdet-d0
Linux version 3.10.0-957.el7.x86_64 ([email protected]) (gcc version 4.8.5 20150623 (Red Hat 4.8.5-36) (GCC) ) #1 SMP Thu Nov 8 23:39:32 UTC 2018
(base) [qiaotianwei@head1 EfficientDetOrign]$ cat /etc/release
CentOS Linux release 7.6.1810 (Core)
Derived from Red Hat Enterprise Linux 7.6 (Source)
NAME="CentOS Linux"
VERSION="7 (Core)"
ID="centos"
ID_LIKE="rhel fedora"
VERSION_ID="7"
PRETTY_NAME="CentOS Linux 7 (Core)"
ANSI_COLOR="0;31"
CPE_NAME="cpe:/o:centos:centos:7"
HOME_URL="https://www.centos.org/"
BUG_REPORT_URL="https://bugs.centos.org/"
CENTOS_MANTISBT_PROJECT="CentOS-7"
CENTOS_MANTISBT_PROJECT_VERSION="7"
REDHAT_SUPPORT_PRODUCT="centos"
REDHAT_SUPPORT_PRODUCT_VERSION="7"
CentOS Linux release 7.6.1810 (Core)
CentOS Linux release 7.6.1810 (Core)
cpe:/o:centos:centos:7
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I also met the same issue in the trainning. have you solved it ?
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Related Issues (20)
- Training results in detections at all anchorboxes
- When I trained the code on my dataset, the mAP always kept 0.0. HOT 3
- zero confidence value
- is it possible to port official weights to your repo? HOT 1
- No boxes to NMS
- Can anyone train coco from scratch? HOT 1
- CUDA Out of Memory. The RTX 2080 TI 8GB can only afford the efficientdet-d3 with batch size 2. Why?
- 已经解决了win10下关于pytorch-EfficientDet下训练自己数据集的问题 HOT 2
- First time training, HTTP Error 403: Forbidden?! HOT 5
- threshold/iou_threshold
- KeyError: 'effcientdet-d0' How to solve this error? HOT 1
- train my datasets , IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed HOT 1
- When is TorchScript planed? HOT 1
- urllib.error.HTTPError: HTTP Error 403: Forbidden HOT 2
- how many gpu and u guys using for batch 64?
- --multiprocessing-distributed --multiprocessing-distributed
- How to download checkpoint_VOC_efficientdet-d1_34.pth HOT 1
- Size mismatch problem.
- Gradient computation error HOT 2
- EfficientDet-D0(with weight) doesn't exist, can't be loaded.
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